Title :
Survival of breast cancer patients following surgery: a detailed assessment of the multi-layer perceptron and Cox´s proportional hazard model
Author :
Lisboa, Paulo J G ; Wong, Helen ; Vellido, Alfredo ; Kirby, Simon P J ; Harris, Peter ; Swindeil, R.
Author_Institution :
Sch. of Comput. & Math., Liverpool John Moores Univ., UK
Abstract :
The prognostic assessment of breast cancer patients following surgery to excise the tumour and other pathological tissue, is an important consideration in determining the most appropriate course of adjuvant therapy for the patient. The paper compares the relative predictive performance of a neural network and an established statistical method, on the basis of their ROC and Kaplan-Meier curves, using information available at the time of surgery
Keywords :
medical computing; multilayer perceptrons; patient treatment; statistical analysis; surgery; Cox´s proportional hazard model; Kaplan-Meier curves; ROC; breast cancer patients; multi-layer perceptron; prognostic assessment; relative predictive performance; surgery; therapy; Breast cancer; Databases; Europe; Hazards; Hospitals; Input variables; Multilayer perceptrons; Oncological surgery; Pathology; Tumors;
Conference_Titel :
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4859-1
DOI :
10.1109/IJCNN.1998.682246
